GiESCO 2019 banner
IVES 9 IVES Conference Series 9 GiESCO 9 GiESCO 2019 9 Modeling from functioning of a grape berry to the whole plant

Modeling from functioning of a grape berry to the whole plant

Abstract

Context and purpose of the study – Grape quality is a complex trait that mainly refers to berry chemical composition, including sugars, organic acids, phenolics, aroma and aroma precursor compounds. It is known that the composition and concentration of chemical compounds dynamically change along berry development and can be affected by genotypes (rootstock and scion), environment (light, temperature and water) and nutrient status (carbon and nitrogen). Moreover, the ongoing climate change is affecting the physiology of grapevine and ultimately wine quality and typicity. Therefore, a better understanding of the mechanisms controlling the accumulation of quality‐related metabolites (both primary and secondary) in grape berry is essential to choose grapevine cultivars and viticultural practices best adapted to a given growth region. Process‐based models can mechanistically integrate various processes involved in fruit growth and composition, and simulate the plant responses to weather and management practices, making them a promising tool to study the response of berry quality to those factors.

Material and methods – Three types of modeling approaches have been applied, including constraint‐ based flux balance analysis, process‐based models, and 3D structure‐functional models. These models were established, calibrated and validated based extensive experimental measurements in grapevines growing under contrast conditions, e.g. nitrogen limitation, modulation of leaf‐to‐fruit ratios, and light conditions. Fruit growth was measured in parallel with metabolite composition, enzyme activities, and whole plant growth processes, such as canopy photosynthesis, and transpiration. Moreover, in silico analysis was conducted to create virtual genotypes or to assess regulatory roles of model parameters.

Results– At cellular scale, we used constraint‐based flux balance analysis model to investigate the flux modifications responsible for biosynthesis of anthocyanins in response to nitrogen limitation. At organ scale, we developed process‐based models for sugar accumulation and anthocyanin composition in grape berries, which allowed us to determine the key processes responsible for these two important quality components. At the whole‐plant scale, a 3D structure‐functional model was developed to simulate water transport, leaf gas exchanges, carbon allocation, and berry growth in various genotype x environment scenarios. In the future, the interactions among the different scales of regulation will be further modelled to offer a model toolkit that allows more accurate predictions of grapevine growth and berry quality elaboration under changing environments and paving a way towards model‐assisted breeding. 

DOI:

Publication date: June 19, 2020

Issue: GiESCO 2019

Type: Article

Authors

Zhanwu DAI (1), Jinliang CHEN (1), Junqi ZHU (2), Michel GENARD (3), Bertrand BEAUVOIT (4), Stefano PONI (5), Sophie COLOMBIE (4), Gregory GAMBETTA (1), Philippe VIVIN (1), Nathalie OLLAT (1), Serge DELROT (1), Yves GIBON (4), Eric GOMES (1)

(1) EGFV, Bordeaux Sci Agro, INRA, Univ. Bordeaux, F-33882 Villenave d’Ornon, France.
(2) The New Zealand Institute for Plant & Food Research Limited (PFR) Marlborough, Blenheim 7240, New Zealand.
(3) INRA, UR 1115 Plantes et Systèmes de Culture Horticoles, Avignon, France.
(4) INRA, UMR 1332 Biologie du Fruit et Pathologie, F33883 Villenave d’Ornon, France.
(5) Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.

Contact the author

Keywords

Environmental adaptation, Vitis vinifera, berry quality, modeling

Tags

GiESCO 2019 | IVES Conference Series

Citation

Related articles…

Comparison of various storage conditions to preserve polyphenols in red-grape pomace

Red grape pomace, a waste from wine production, can be valorised by extracting polyphenols, high-added value compounds used in cosmetics or oenology. For use at an industrial level, using green extraction techniques, pomace need to be stored before being processed. The aim of this study is to test various storage conditions in order to maintain high level of polyphenols over 180 days, while keeping storage cost economically interesting. In a first step, different storage conditions (ambient temperature or cooled (4°C) temperature, anaerobic (saturation with N2) or aerobic conditions, and addition of sulphur dioxide (SO2)) were compared on small samples (1 kg) packed in plastic pockets. The quality of storage was assessed by following the optical density of the pomace extract at 280 nm (DO 280 expressed as mg/l eq gallic acid), which is an indication of the amount of remaining extractable polyphenols.

Ripening of Vitis vinifera grapes varieties in São Joaquim, a new wine growing region, Southern Brazil

This report has investigated the ripening characteristics of Vitis vinifera grapes Cabernet Franc, Merlot, Sangiovese and Syrah in two consecutive vintages (2006 and 2007), in order to evaluate the adaptation from these recently varieties planted in São Joaquim town, Santa Catarina State, Brazil.

Sustainable wine industry challenge: optimised cork powder us new sustainable fining agent to remove negative volatile phenols

AIM: Cork, the bark of Quercus suber L. is a natural, renewable, sustainable, and biodegradable raw material, representing an abundant and cheap source of raw material. Portugal is the major cork producer (185,000 tons) processing about three-quarters of the world’s cork, generating up to 25 wt % of cork dust as a by-product.

Study on the impact of clone on the varietal aroma of Xinomavro

It is well documented that varietal aroma is an important parameter of wine quality. Chemical compounds responsible for wine varietal aroma are sourced from secondary grape metabolites. Until today little research is conducted on the influence of vine clone on the grape aromatic content of Greek grape varieties. Xinomavro (Vitis vinifera L.) is one of the most important Greek grape varieties, valuable for the wine industry of Northern Greece since it contributes to the production of PDO wine of Naoussa, Amindeo and Goumenissa.

VineyardFACE: Investigation of a moderate (+20%) increase of ambient CO2 level on berry ripening dynamics and fruit composition

Climate change and rising atmospheric carbon dioxide concentration is a concern for agriculture, including viticulture. Studies on elevated carbon dioxide have already been on grapevines, mainly taking place in greenhouses using potted plants or using field grown vines under higher CO2 enrichment, i.e. >650 ppm. The VineyardFACE, located at Hochschule Geisenheim University, is an open field Free Air CO2 Enrichment (FACE) experimental set-up designed to study the effects of elevated carbon dioxide using field grown vines (Vitis vinifera L. cvs. Riesling and Cabernet Sauvignon). As the carbon dioxide fumigation started in 2014, the long term effects of elevated carbon dioxide treatment can be investigated on berry ripening parameters and fruit metabolic composition.
The present study aims to investigate the effect on fruit composition under a moderate increase (+20%; eCO2) of carbon dioxide concentration, as predicted for 2050 on both Riesling and Cabernet Sauvignon. Berry composition was determined for primary (sugars, organic acids, amino acids) and secondary metabolites (anthocyanins). Special focus was given on monitoring of berry diameter and ripening rates throughout three growing seasons. Compared to previous results of the early adaptative phase of the vines [1], our results show little effect of eCO2 treatment on primary metabolites composition in berries. However, total anthocyanins concentration in berry skin was lower for eCO2 treatment in 2020, although the ratio between anthocyanins derivatives did not differ.
[1] Wohlfahrt Y., Tittmann S., Schmidt D., Rauhut D., Honermeier B., Stoll M. (2020) The effect of elevated CO2 on berry development and bunch structure of Vitis vinifera L. cvs. Riesling and Cabernet Sauvignon. Applied Science Basel 10: 2486